Classification of leaf type using artificial neural networks

dc.contributor.authorYasar, Ali
dc.contributor.authorSaritas, Ismail
dc.contributor.authorSahman, M. Akif
dc.contributor.authorDundar, A. Oktay
dc.date.accessioned2020-03-26T18:59:42Z
dc.date.available2020-03-26T18:59:42Z
dc.date.issued2015
dc.departmentSelçuk Üniversitesi, Güneysınır Meslek Yüksekokulu, Bilgisayar Teknolojileri Bölümüen_US
dc.description.abstractA number of shape features for automatic plant recognition based on digital image processing have been proposed by Pauwels et al. in 2009. Then Silva et al in 2014 have presented database comprises 40 different plant species. We performed in our study a classification process using dataset and artificial neural networks which have been prepared by Silva and et al. It has been determined that classification accuracy is over 92%.en_US
dc.identifier.citationYasar, A., Saritas, I., Sahman, M. A., Dundar, A. O. (2015). Classification of Leaf Type Using Artificial Neural Networks. International Journal of Intelligent Systems and Applications in Engineering, 3(4), 136-139.
dc.identifier.endpage139en_US
dc.identifier.issn2147-6799en_US
dc.identifier.issn2147-6799en_US
dc.identifier.issue4en_US
dc.identifier.startpage136en_US
dc.identifier.urihttp://www.trdizin.gov.tr/publication/paper/detail/TVRrek1ETXdNQT09
dc.identifier.urihttps://hdl.handle.net/20.500.12395/31597
dc.identifier.volume3en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorYasar, Ali
dc.institutionauthorSaritas, Ismail
dc.institutionauthorSahman, M. Akif
dc.institutionauthorDundar, A. Oktay
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Intelligent Systems and Applications in Engineeringen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial Neural Networken_US
dc.subjectLeaf Dataseten_US
dc.subjectANN
dc.subjectLevenberg-Marquardt
dc.titleClassification of leaf type using artificial neural networksen_US
dc.typeArticleen_US

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